Generator management system and method that selectively activate at least one of a plurality of generators in a power generation system

ABSTRACT

A method of determining an operation of at least one of a plurality of generators in a power generation system. The method includes identifying a system parameter that is related to operation of the power generation system; and determining which of the plurality of generators to operate to minimize fuel consumption of the power generation system based on the system parameter. Other methods include identifying a system parameter that is related to operation of the power generation system; and determining which of the plurality of generators to operate by optimizing an operating variable of the power generation system based on the system parameter.

CLAIM OF PRIORITY

This patent application is a continuation-in-part application and claimsthe benefit of priority to U.S. patent application Ser. No. 13/540,133,entitled “GENERATOR MANAGEMENT SYSTEM THAT SELECTIVELY ACTIVATESGENERATORS BASED ON AN OPERATING PARAMETER,” filed on Jul. 2, 2012,which is hereby incorporated by reference in its entirety.

TECHNICAL FIELD

A generator management system and method, and more particularly to agenerator management system and method that selectively activate atleast one of a plurality of generators in a power generation system.

BACKGROUND

Electric generators are typically used to provide electrical power. Onecommon use of electric generators is as a standby power source. Anothercommon use of electric generators is to provide power at a remotelocation where utility company power is not available.

One common type of electric generator includes an internal combustionengine. The internal combustion engine drives an electrical alternatorthat produces alternating electricity.

Many existing systems often include multiple electric generators,especially in situations where there is a potential high demand forpower. There can be advantages to employing multiple small generatorsrather than a single large generator.

One of the advantages is that if one generator fails, or requiresmaintenance, a multi-generator system can still supply some power whilea single generator system would otherwise not be able to meet demand.Another advantage is that load growth may be addressed by adding anothergenerator rather than replacing an existing generator with a larger (andmore expensive) generator.

Another advantage of using multiple generators is that it is possible tostop generators that are not needed to provide power at a particularpoint in time. Stopping generators (i) saves wear and tear on thegenerators; (ii) decreases sound emissions at a location; (iii)decreases fuel consumption (and corresponding harmful environmentalemissions).

Stopped generators can also be restarted as demand increases. Thisstarting and stopping of certain generators within a plurality ofgenerators is referred to as generator management.

Some of the drawbacks with existing generator management systems mayinclude (i) the need for expensive external controls in order toadequately start and stop particular generators; or (ii) unequal wear ofthe generators resulting from the inability to dynamically change theorder in which each of the plurality of generators are started andstopped in response to changes in demand.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic plan view of an example generator managementsystem.

FIG. 2 is a schematic plan view of a power generation system.

FIG. 3 shows an example efficiency curve for a spark ignited generator.

FIGS. 4A and 4B provide example efficiency curves of different sizedgenerators.

FIG. 5 shows an example table that identifies the best possiblecombination of three different generators to use for a given load.

FIG. 6 is a bar graph that presents the information in the table shownin FIG. 5 in another form.

FIG. 7 illustrates a flow diagram of an example method of determining anoperation of at least one of a plurality of generators in a powergeneration system.

FIG. 8 illustrates a flow diagram of another example method ofdetermining an operation of at least one of a plurality of generators ina power generation system.

FIG. 9 illustrates a brake specific fuel consumption curve for anexample engine.

FIG. 10 illustrates a total efficiency curve for an example alternator.

DETAILED DESCRIPTION

The following description and the drawings sufficiently illustratespecific embodiments to enable those skilled in the art to practicethem. Other embodiments may incorporate structural, logical, electrical,process, and other changes. Portions and features of some embodimentsmay be included in, or substituted for, those of other embodiments.Embodiments set forth in the claims encompass all available equivalentsof those claims.

FIG. 1 is a schematic plan view of an example generator managementsystem 10. The generator management system 10 includes a first generator11 that is adapted to supply power to a load L and a first generatorcontroller 12 that operates the first generator 11. The generatormanagement system 10 further includes a second generator 13 that isadapted to supply power to the load L and a second generator controller14 that operates the second generator 13.

The generator management system 10 further includes a communication bus15 that connects the first generator controller 12 and the secondgenerator controller 14 such that the first generator controller 12 andthe second generator controller 14 exchange data. At least one of thefirst generator controller 12 and the second generator controller 14selectively activates the first generator 11 and the second generator 13in an order that depends on an operating parameter of the firstgenerator 11 and the second generator 13 (as opposed to a fixed sequenceor order which is done in existing systems). Therefore, the generatormanagement system 10 is able to dynamically change the order in whicheach of the first and second generators 11, 13 are started and stoppedin order to meet a changing demand for power at the load L.

In the example embodiment illustrated in FIG. 1, the generatormanagement system 10 further includes a server 16 that is connected tothe first and second generator controllers 12, 14 via a network (e.g.the Internet I). It should be noted that in embodiments that includeserver 16, at least one of the first generator controller 12, the secondgenerator controller 14 and the server 16 may selectively activate thefirst generator 11 and the second generator 13 in an order that dependson an operating parameter of the first generator 11 and the secondgenerator 13.

In some embodiments, the order in which the first generator 11 and thesecond generator 13 are selectively activated depends on a total numberof run hours that is associated with each of the first and secondgenerators 11, 13. As an example, the order may be established such thatthe one of the first generator and the second generator 11, 13 with thelower number of total run hours is selected to activate first.

Embodiments are also contemplated where the order depends on a totalamount of emissions that are generated by each of the first and secondgenerators 11, 13. As an example, the order is established such that theone of the first generator 11 and the second generator 13 whichgenerates fewer emissions is selected to activate first.

It should be noted that various different types of emissions may be usedto establish the order for selectively activating the first generator 11and the second generator 13. Example emissions include hydrocarbonemissions and sound emissions (among others).

In some embodiments, the order in which the first generator 11 and thesecond generator 13 are selectively activated depends on a cost that isassociated with operating each of the first and second generators 11,13. As an example, the cost may be determined by a rate of fuelconsumption of each of the first and second generators 11, 13. Asanother example, the cost may be determined by maintenance costs thatare associated with operating each of the first and second generators11, 13.

Embodiments are also contemplated where the order depends on a pre-faultcondition that exists for each of the first and second generators 11,13. One example pre-fault condition may be low fuel level. As anexample, when one of the first and second generators 11, 13 has a lowfuel level, the other of the first and second generators 11, 13 may beselectively activated first.

In embodiments where the first and second generators 11, 13 each supplythe load through circuit breakers, an example pre-fault condition may bethat one of the circuit breakers is unable to open. In this example, thegenerator that is connected to the load through the circuit breaker thatis unable to open is selectively activated first.

In embodiments where the first and second generators 11, 13 each includean engine, the pre-fault condition may relate to an operating parameterof the respective engine. Some examples of pre-fault condition thatrelates to engines include; high coolant temperature warning, low oilpressure warning, sensor malfunction and low battery voltage warning.

Embodiments are also contemplated where the order depends on the age ofthe fuel with each respective engine. As an example, when one of thefirst and second generators 11, 13 has an older fuel supply, thatgenerator 11, 13 that includes the older fuel supply may be selectivelyactivated first to consume the older fuel.

In some embodiments, the order in which the first generator 11 and thesecond generator 13 are selectively activated depends on a minimum loadrequirement for each of the first and second generators 11, 13. As anexample, the minimum load requirement may be set by local emissionsstandards.

Embodiments are contemplated where a secondary operating parameter isdesignated for selectively activating one of the first and secondgenerators when the primary operating parameter is effectively equal.

As an example, during operation of the generator management system 10,the first and second generators 11, 13 will tend to equalize theirprimary operating parameter (e.g., fuel levels within the first andsecond generators 11, 13 will tend to equalize when the fuel level isthe primary operating parameter). In addition, external activity maytend to equalize the primary operating parameter (e.g., when a fuelequalizing tube is placed between the first and second generators 11,13).

It should be noted although only first and second generators 11, 13 aredescribed herein, the generator management system 10 may include anyadditional number of generators. The generator management system 10would be able to selectively activate some (or all) of the additionalgenerators in an order that depends on an operating parameter of thegenerators.

The generator management systems 10 described herein may serve toequalize some primary (and possibly secondary) operating parameter ofthe generators that are part of the generator management system 10. Inaddition, the generator management systems 10 described may be able todynamically change the order in which each of the generators within thegenerator management systems 10 are started and stopped to meet changingload demands (without the need for expensive external controls).

FIG. 2 is a schematic plan view of an example power generation system20. The power generation system 20 may include a plurality of generators21, 22, 23 that may be adapted to supply power, individually or incombination, to a load L. While three generators 21, 22, 23 are shown,the power generation system 20 may include fewer or more generators.Additionally, although the load L is shown as a single load L, the loadL may be a combination of loads that are individually, partially orcollectively supplied with power by the power generation system 20.

The generators 21, 22, 23 may all be the same or similar (such as havingthe same or similar size, fuel type, or emission efficiency), or any orall of the generators 21, 22, 23 may be different from the othergenerators 21, 22, 23 (such as having a different size, fuel type, fuelignition type, or emission efficiency). For example, in some systems,the generators 21, 22, 23 may all be spark-ignited engine-generator sets(also referred to as a “spark-ignited generator” or “spark-ignitedgenset”) such as gasoline-powered engine-generator sets, but may each besized differently. In other systems, one or more of the generators 21,22, 23 may be a compression-ignited engine-generator set (also referredto as a “compression-ignited generator” or “compression-ignited genset”)such as diesel-powered engine-generator sets, while other generators 23may be spark-ignited generators. In still other systems, one or more ofthe generators 21, 22, 23 may be a variable speed generator. Many othervariations are possible.

The power generation system 20 may further include a control system 24.In some examples of the power generation system 20, the control system24 may include one or more generator controllers 26A, 26B, 26C thatcontrol operation of at least one of a plurality of generators 21, 22,23. As examples, the control system 24 may include one generatorcontroller that controls all of the generators 21, 22, 23, or as shownin FIG. 2, the control system 24 may include multiple generatorcontrollers 26A, 26B, 26C such that each generator controller 26A, 26B,26C controls a respective one of the generators 21, 22, 23. As stillanother example, the control system 24 may include multiple generatorcontrollers 26A, 26B, 26C, with one or more generator controllerscontrolling one generator, and one or more generator controllerscontrolling more than one generator.

In example power generation systems where the control system 24 includesmultiple generator controllers 26A, 26B, 26C, the generator controllers26A, 26B, 26C may be able to communicate with one another and/or otherparts of the control system 24, such as over, through, or otherwiseusing one or more wired or wireless networks N.

The power generation system 20 may additionally or alternatively includeone or more servers 25. The server 25 may be connected to and/orcommunicate with the control system 24 and/or any of the generatorcontrollers 26A, 26B, 26C via the wired or wireless network N.

The control system 24 (with or without the server 25) may monitor one ormore parameters of the power generation system 20. The control system 24may additionally or alternatively control and/or operate one or more ofthe plurality of generators 21, 22, 23. The control system 24 mayselectively activate or deactivate some (or all) of the generators 21,22, 23 in an order that depends on a system parameter.

The control system 24 may, for example, monitor a load to be powered bythe power generation system 20, determine which of the plurality ofgenerators 21, 22, 23 to activate or deactivate based on a systemparameter in order to optimize an operating variable (such as aconsumable input like fuel or an undesired output such as noise orpollutants) of the power generation system 20, and may control thegenerators 21, 22, 23 based on the determination. As some specificexamples, the control system 24 may determine which of the plurality ofgenerators 21, 22, 23 to activate or deactivate based on a systemparameter in order to minimize fuel consumption, to maximize efficiency(such as fuel efficiency), to minimize sound or noise emissions, tomaximize run time or maintenance intervals, or to minimize pollutant orvarious harmful emissions (for example, carbon dioxide, hydrocarbons,carbon monoxide, oxides of nitrogen). Other variations are possible.

FIG. 3 shows an example efficiency curve for a spark ignited generator.Spark ignited generators may typically operate most efficiently at aparticular load or range of loads. In the example illustrated in FIG. 3,the load at which the spark-ignited generator operates most efficientlyat is between 60% and 80% of generator rated capacity. Efficiency may bedefined as the ratio between the mechanical power produced and rate ofchemical energy consumption. Efficiency may be calculated based on therated (i.e., listed) brake specific fuel consumption of the engine at agiven operating speed (e.g., 1800 rpm or other speeds). Other variationsare possible.

FIGS. 4A and 4B provide example efficiency curves of different sizedgenerators (e.g., 20 kW, 40 kW and 65 kW). For example, FIG. 4A showsexample efficiency curves for three different sized compression-ignitedgenerators. FIG. 4B shows example efficiency curves for three differentsized spark-ignited generators.

FIGS. 4A and 4B illustrate that different sized generators may havedifferent efficiencies at different load levels. For example, in FIG. 4Bat a 10 kW load, (i) the 20 KW generator would use about 3.5 L/hr. offuel; (ii) the 40 KW generator would use about 5 L/hr. of fuel; and(iii) the 65 kW generator would use about 6.3 L/hr. of fuel. Therefore,based on a 10 kW load, the 20 kW generator would be an optimum choice tosupply power to the 10 kW load in order to minimize fuel consumption.

While FIGS. 4A-4B relate to fuel consumption, similar determinations maybe made to optimize other operating variables or combination ofvariables, such as sound or pollutant emissions or maintenanceintervals. In some systems, the power generation system 20 may optimizeone or more operating variables within various rules, constraints, orother operating variable requirements. For example, the power generationsystem 20 may optimize one or more operating variables which ensure thata minimum load is maintained on at least one of the plurality ofgenerators 21, 22, 23. As another example, the power generation system20 may optimize one or more operating variables based on an anticipatedload L of the system. Other variations are possible.

The control system 24 may determine a combination of generators 21, 22,23 that optimize an operating variable in various ways. For example, insome systems, the control system 24 in the power generation system 20may calculate the operating variable for each possible permutation ofactive generators in the plurality of generators 21, 22, 23 based on aparameter of the power generation system 20. As a specific example, thecontrol system 24 may determine a load L, and may calculate a fuelefficiency (or other operating variable) that would result from usingeach permutation of generators 21, 22, 23 in the system at thatdetermined load L. In some example forms of the power generation system20, the control system 24 may actually measure the fuel consumption ofeach possible permutation of active generators in the plurality ofgenerators 21, 22, 23. In other examples, the power generation system 20may refer to established tables, calculations, or estimations toidentify the fuel efficiency at the determined load L. After determiningthe operating variable (such as fuel efficiency) for each permutation ofgenerators 21, 22, 23, the control system 24 may identify thepermutation that results in the optimal operating variable (such as thegreatest fuel efficiency or lowest fuel consumption), and may controlthe generators 21, 22, 23 in this permutation to operate accordingly.

The control system 24 may perform the calculations for the operatingvariable in a given order. As one example, the control system 24 maybegin calculating the operating variable for the permutation with thesmallest possible total load of active generators, and performing thecalculation for permutations with increasing total load of the activegenerators. As another example, the control system 24 may perform thecalculation in a reverse order, starting with the largest load capacityfirst, and then progressively performing the calculation forpermutations with smaller total load capacity. In still other examples,the control system 24 may perform the calculation for all permutationswith only one active generator first, then all permutations with twogenerators next, and so on (or vice versa). Many other variations arepossible.

In some examples, the control system 24 may not perform a calculationfor all permutations. For example, the control system 24 may perform thecalculations in an order (such as starting with permutations with thesmallest load capacity and progressively increasing the load capacity ofthe permutations). The control system 24 may calculate the operatingvariable for the first two permutations of the order (such as thesmallest and second smallest load capacities), and may compare the twocalculated operating variables. Where the latest calculated operatingvariable is more optimized than (or equal to) the older calculatedoperating variable (SV_(n)> or =SV_(n-1)), the control system 24 maycalculate the operating variable for the third permutation of activegenerators, and compare this third calculated operating variable to thesecond calculated operating variable. This process may continue untilthe most recent calculated operating variable is not more optimized thanthe previous calculated operating variable (SV_(n)<SV_(n-1)). At thispoint, the control system 24 may determine that the previous (n−1)permutation produced the optimal operating variable, and may control thegenerators 21, 22, 23 in accordance with the previous (n−1) permutation.Other variations are possible.

In another example, the control system 24 may determine a set ofgenerators 21, 22, 23 to operate to optimize an operating variable byusing historical data or tables. FIG. 5 shows an example table thatidentifies possible combinations of generators GEN 1-3 (which may besimilar to or the same as generators 21, 22, 23) to use for a givenload. In some example systems, the generators GEN 1-3 may each bedifferent sized generators. For example, GEN 1 may be a 20 kWspark-ignited generator, GEN 2 may be a 40 kW spark-ignited generator,and GEN 3 may be a 65 kW spark-ignited generator.

FIG. 6 is a bar graph that illustrates the optimum permutation ofgenerators GEN 1-3 to use at various load capacities. The bars of thebar graph in FIG. 6 illustrate a maximum operating capacity of eachpermutation of generators GEN 1-3 versus Generator Load (kW capacity)for a variety of operating ranges. The labels on the Y-axis illustratethe optimum load ranges at which to operate for of each permutation ofgenerators GEN 1-3.

The control system 24 may use the data in the example table to identifya combination of the different generators GEN 1-3 which may provide anoptimal operation of the power generator system 20 at a given load. Forexample, the table or similar data may be stored in the server 25 oranother memory. The control system 24 may identify a load to be poweredby the power generation system 20, and may consult the stored table orsimilar data to determine the combination of generators GEN 1-3 whichmay optimize the operating variable.

The values shown in the table of FIG. 5 are merely examples, and may bedifferent when any, or all, of the generators 21, 22, 23 are a differentsize, fueled by a different fuel source, or otherwise constructed ormanufactured in different ways.

The following Examples are provided for illustration purposes only, andillustrate how a control system 24 may determine a set of generators tocontrol to optimize an operating variable such as fuel efficiency:

Example #1

The power generation system 20 is supplying power to a 40 kW load. Basedon the data in the table shown in FIG. 5, the control system 24 wouldselectively activate or deactivate generators until the first 20 kWgenerator 21 and the second 40 kW generator 22 were supplying power tothe load L.

Example #2

The power generation system 20 is supplying power to a 50 kW load. Basedon the data in the table shown in FIG. 5, the control system 24 wouldselectively activate or deactivate generators until only the third 65 kWgenerator 23 were supplying power to the load L.

Example #3

The power generation system 20 is supplying power to a 60 kW load. Basedon the data in the table shown in FIG. 5, the control system 24 wouldselectively activate or deactivate generators until the first 20 kWgenerator 21 and the second 40 kW generator 22 were supplying power tothe load L.

Example #4

The power generation system 20 is supplying power to a 75 kW load. Basedon the data in the table shown in FIG. 5, the control system 24 wouldselectively activate or deactivate generators until the second 40 kWgenerator 21 and the third 65 kW generator 22 were supplying power tothe load L.

Example #5

The power generation system 20 is supplying power to a 100 kW load.Based on the data in the table shown in FIG. 5, the control system 24would selectively activate all of generators until the first 20 kWgenerator 21, the second 40 kW generator 22 and the third 65 kWgenerator 23 were supplying power to the load L.

In some forms of the power generation system 20 the tables and/or datarelating to fuel efficiency or some other parameter may be updated basedon periodic or continuous measurements of the fuel efficiency of theindividual and/or collective set of generators 21, 22, 23. The controlsystem 24 may generate data tables that may be used to optimize anoperating variable based on external sensors, user input andcommunicated or measured system operating parameters. The control system24 may also regularly or frequently update any tables and/or curvesduring operation of the power generation system 20.

The power generation system 20 may additionally or alternatively useoperating variable curves, such as the curves of FIGS. 4A and 4B, todetermine which generators to operate to optimize the operatingvariable. For example, as discussed above, the control system 24 mayidentify a load L to be powered by the power generator system 20, andmay identify the generators 21, 22, 23 which provide an optimum choiceto minimize fuel consumption (or optimize a different operatingvariable). As a specific example, based on a 10 kW load, the controlsystem 24 may consult the efficiency curves and/or related data identifythe 20 kW generator as an optimum choice to supply power to the 10 kWload in order to minimize fuel consumption.

The power generation system 20 may additionally or alternativelydetermine a combination of generators 21, 22, 23 that optimize anoperating variable by performing one or more calculations or algorithms.For example, the control system 24 may perform one or more calculationswhich may estimate fuel consumption for a system at a given load, or mayidentify an appropriate set of generators to operate based on a givenload.

In some forms of the power generation system 20, the control system 24may selectively activate the smallest number of generators possible tomeet the actual (or expected) load L. The control system 24 may thenselectively activate additional generators so that the appropriatecombination of generators is operating based on particular primary andsecondary system parameters within the power generation system 20.

The control system 24 in the power generation system 20 may be ablemonitor utility power that is also capable of supplying power to theload L. The control system 24 may be able to identify only theappropriate number of generators 21, 22, 23 that are needed to meet apre-existing load during a smooth or expected utility-to-backup powertransition.

Typically, when paralleled generators are needed in conventional powergeneration systems, all of the generators are started because thegenerator controllers don't know the load L until a generator connectsto the load L by means of a paralleling breaker connected to thegenerators. After closing the paralleling breaker, the controllersdetermine the magnitude of the load L allowing a determination of thenumber of generators that are needed to supply the load L.

The power generation systems 20 described herein may monitor the utilitypower draw so that the control system 24 knows what the power draw isbefore switching to generator power. One other example application wheresuch power draw knowledge may be utilized is when you're on a boat andtransferring from shore power to secondary power.

The control system 24 in power generation systems 20 that include someform of load control system (not shown) may be able to vary load shedtiming based on a state of the power generator system 20. As an example,the state of the power generator system 20 may be based on the number ofgenerators 21, 22, 23 that are running. As another example, the state ofthe power generator system 20 may be based on the number of generators21, 22, 23 that are able to run.

Typically, in conventional power generation systems, a controller may beset up to coordinate the timing between starting a generator andshedding a load. As an example, this typical timing may be approximately15 seconds. However, if all generators are online, there is littlebenefit from waiting 15 seconds before shedding a load, because thereare no additional generators that can be added to handle the load.

The example power generation systems 20 described herein may limit theload shed timing to a much lower value (e.g., 3 seconds). The examplepower generation systems 20 described herein may also base load shedtiming on a condition of the power generation system 20. As an example,the load shed timing may be a first timing (e.g., 15 seconds) when atleast one generator is offline and a second timing (e.g., 3 seconds)when all generators 21, 22, 23 are online.

FIG. 7 illustrates a flow diagram of an example method [700] ofdetermining an operation of at least one of a plurality of generators ina power generation system. The method may be performed by the controlsystem 24 or various other components of the power generation system 20.The method may be implemented in software and/or stored in memory. Themethod may be implemented as logic which the control system 24 oranother component of the power generation system 20 may execute. Themethod includes [710] identifying a system parameter that is related tooperation of the power generation system, and [720] determining which ofthe plurality of generators to operate to minimize fuel consumption ofthe power generation system based on the system parameter. In some formsof the method [700] the method [700] further includes [730] operatingthe generators that have been determined to minimize fuel consumption.

As an example, [710] identifying a system parameter that is related tooperation of the power generation system may include identifying anexisting load that is supplied with power from the power generationsystem.

As another example, [710] identifying a system parameter that is relatedto operation of the power generation system may include identifying ananticipated load that is to be supplied with power from the powergeneration system.

As another example, [710] identifying a system parameter that is relatedto operation of the power generation system may include identifying aminimum load that must be maintained to operate the power generationsystem.

[720] Determining which of the plurality of generators to activate ordeactivate to minimize fuel consumption of the power generation systembased on the system parameter may include calculating expected fuelconsumption for each possible permutation of active generators in theplurality of generators based on the system parameter.

As an example, calculating expected fuel consumption for each possiblepermutation of active generators in the plurality of generators based onthe system parameter may include calculating fuel consumption for eachgenerator in the plurality of generators.

As another example, calculating fuel consumption for each possiblepermutation of active generators in the plurality of generators mayinclude obtaining data from fuel efficiency curves that indicate fuelconsumption for each possible permutation of active generators in theplurality of generators.

As another example, calculating fuel consumption for each possiblepermutation of active generators in the plurality of generators mayinclude obtaining data from brake specific fuel consumption curves foreach generator based on a predicted load on each generator.

As another example, calculating fuel consumption for each possiblepermutation of active generators in the plurality of generators mayinclude measuring fuel consumption for each generator in the pluralityof generators. In some example forms of the method [700], measuring fuelconsumption for each generator in the plurality of generators mayinclude storing fuel consumption data and utilizing the fuel consumptiondata in determining which of the plurality of generators to activate ordeactivate in order to minimize fuel consumption of the power generationsystem.

Forms of the method [700] are contemplated where at least one generatorin the plurality of generators is different in size, fuel efficiency orfuel type than the other generators in the plurality of generators.Other combinations are also contemplated where more than one generatorin the plurality of generators is different in size, fuel efficiency orfuel type than the other generators in the plurality of generators.

FIG. 8 illustrates a flow diagram of an example method [800] ofdetermining an operation of at least one of a plurality of generators ina power generation system. The method may be performed by the controlsystem 24 or various other components of the power generation system 20.The method may be implemented in software and/or stored in memory. Themethod may be implemented as logic which the control system 24 oranother component of the power generation system 20 may execute. Themethod includes [810] identifying a system parameter that is related tooperation of the power generation system, and [820] determining which ofthe plurality of generators to operate by optimizing an operatingvariable of the power generation system based on the system parameter.

[820] Optimizing an operating variable of the power generation systembased on the system parameter may include minimizing fuel consumption ofthe power generation system. As an example, minimizing fuel consumptionof the power generation system may include calculating fuel consumptionfor each generator in the plurality of generators to determine whichpermutation of generators to operate to minimize fuel consumption.

[820] Optimizing an operating variable of the power generation systembased on the system parameter may also include minimizing emissions ofthe power generation system. As an example, minimizing emissions of thepower generation system may include minimizing sound emissions and/orenvironmental emissions (e.g., carbon dioxide, hydrocarbons, carbonmonoxide and oxides of nitrogen).

In some forms of the method [800], optimizing an operating variable ofthe power generation system based on the system parameter may includemaximizing operating life of the power generation system. As an example,even though it may be more efficient to operate one or more generatorsat 100% rated capacity for extended periods of time, operating thegenerators in such a manner may have the effect of reducing theoperating life of the generator(s).

Forms of the method [800] are contemplated where a combination of someof the aforementioned operating variables (e.g., emissions, fuelconsumption and/or generator operating life) are combined to determinewhich of the plurality of generators to operate.

FIG. 9 illustrates an example three dimensional brake specific fuelconsumption curve for an engine. The horizontal axis indicates enginespeed, the vertical axis indicates engine load and the topographicalaxis (z-axis) indicates brake specific fuel consumption.

FIG. 10 illustrates a total efficiency curve for an example alternator.The horizontal axis indicates output electrical power and the verticalaxis indicates efficiency. An example procedure for determining a fuelconsumption curve of an example generator using the engine of FIG. 9 andthe alternator of FIG. 10 involves establishing fuel consumption atvarious generator load points and includes (i) obtaining alternatorefficiency from FIG. 10 at each load; (ii) dividing the load by thealternator efficiency to determine the load on the engine; (iii)obtaining an engine brake specific fuel consumption from FIG. 9 based onthe load on the engine and the engine speed at that particular load;(iv) multiplying the brake specific fuel consumption by the load on theengine to determine a fuel consumption rate; and (v) determining a fuelconsumption curve of an example generator by repeating steps (i)-(iv)for the range of possible generator loads.

Neither alternator efficiency nor brake specific fuel consumption islisted at 0% load due to efficiency being meaningless with no output.Fuel consumption data may be obtained at 0% load to allow the fuelconsumption curve of an example generator to be completed. Otherrelatively small loads may be obtained in a similar way.

The procedures described above may be used to determine fuel consumptioncurve of an example generator for various types of generators. Examplegenerators include constant-speed fixed pole (unchanging alternator polecount), constant-speed variable pole (multiple alternator poleconfigurations) and variable speed generators. Other procedurevariations and generator types are possible.

The Abstract is provided to comply with 37 C.F.R. Section 1.72(b)requiring an abstract that will allow the reader to ascertain the natureand gist of the technical disclosure. It is submitted with theunderstanding that it will not be used to limit or interpret the scopeor meaning of the claims. The following claims are hereby incorporatedinto the detailed description, with each claim standing on its own as aseparate embodiment.

What is claimed is:
 1. A method of determining an operation of at least one of a plurality of generators in a power generation system comprising: identifying a system parameter that is related to operation of the power generation system using a controller; and determining which of the plurality of generators to operate to minimize fuel consumption of the power generation system based on the system parameter, wherein determining which of the plurality of generators to activate or deactivate to minimize fuel consumption of the power generation system based on the system parameter includes calculating expected fuel consumption for each possible permutation of active generators in the plurality of generators based on the system parameter.
 2. The method of claim 1 wherein calculating expected fuel consumption for each possible permutation of active generators in the plurality of generators includes calculating fuel consumption for each generator in the plurality of generators.
 3. The method of claim 1 wherein calculating fuel consumption for each possible permutation of active generators in the plurality of generators includes obtaining data from fuel efficiency curves that indicate fuel consumption for each possible permutation of active generators in the plurality of generators.
 4. The method of claim 1 wherein calculating fuel consumption for each possible permutation of active generators in the plurality of generators includes measuring fuel consumption for each generator in the plurality of generators.
 5. The method of claim 1 wherein measuring fuel consumption for each generator in the plurality of generators includes storing fuel consumption data and utilizing fuel consumption data in determining which of the plurality of generators to activate or deactivate in order to minimize fuel consumption of the power generation system.
 6. A generator management system comprising: a plurality of generators that are adapted to supply power to a load; and a control system that operates the plurality of generators, wherein the control system determines which of the plurality of generators to activate or deactivate based on a system parameter in order to minimize fuel consumption of the power generation system, wherein the control system calculates fuel consumption for each possible permutation of active generators in the plurality of generators.
 7. The generator management system of claim 6 further comprising a server that is connected to the control system via a network, wherein at least one of the control system and the server determines which of the plurality of generators to activate or deactivate based on the system parameter in order to minimize fuel consumption of the power generation system.
 8. The generator management system of claim 6 wherein the control system includes a generator controller that controls operation of at least one of a plurality of generators.
 9. The generator management system of claim 6 wherein the control system anticipates the load that is to be supplied with power by the plurality of generators.
 10. The generator management system of claim 6 wherein the control system maintains a minimum load that is set by local emissions standards on at least one of the plurality of generators.
 11. The generator management system of claim 6 wherein the control system measures the fuel consumption of each possible permutation of active generators in the plurality of generators.
 12. The generator management system of claim 6 wherein at least one generator in the plurality of generators is different in size, fuel efficiency or fuel type than the other generators in the plurality of generators.
 13. The generator management system of claim 6 wherein the control system includes a plurality of generator controllers that are each configured to control at least one generator. 